Log Anomaly Detection of Structured Logs in a Distributed Cloud System
As computer systems grow larger and more complex, the task of maintaining the system and finding potential security threats or other malfunctions become increasingly hard. Traditionally, this has had to be done by manually examining the logs. In modern systems, this can become infeasible due to either the large amount of logs or the complexity of the system. By using machine learning based anomaly
